Staff Data Scientist (AI & ML) at Delivery Hero | Dubai

Role Overview Delivery Hero is hiring a Staff Data Scientist focused on Artificial Intelligence (AI) and Machine Learning (ML) in Dubai. This senior position plays a key role in advancing how the company uses data to make decisions and improve services. What You Will Do Work with teams across the business to design and build advanced algorithms and models. Apply AI and ML techniques to solve real problems and improve customer experiences. Help guide the direction of data science projects that influence the future of Delivery Hero’s offerings. Location This role is based in Dubai.

Join our dynamic team at Delivery Hero as a Senior Product Manager - AI. In this pivotal role, you will lead innovative product strategies that harness the power of artificial intelligence to enhance our delivery services. Collaborate with cross-functional teams to design, develop, and implement cutting-edge solutions that drive operational efficiency and improve customer satisfaction.

Join Delivery Hero as a Senior Data Scientist specializing in Artificial Intelligence and Machine Learning. In this pivotal role, you will leverage advanced analytical skills to drive innovative solutions that enhance our delivery services. Collaborate with cross-functional teams to develop algorithms and models that improve operational efficiency and customer satisfaction.

Envision Employment Solutions is actively seeking a Lead Data Scientist for our esteemed partner, a prominent player in the IT Services and IT Consulting sector.Job Overview:We are in search of a forward-thinking AI leader who will spearhead our enterprise-scale AI initiatives, including strategy formulation, architecture design, and successful project execution. This pivotal role necessitates profound knowledge of large language models (LLMs), AI governance, and robust machine learning platforms, along with exceptional leadership and communication skills that resonate with executive stakeholders.The ideal candidate will possess a wealth of experience in constructing and scaling enterprise AI ecosystems while managing interdisciplinary teams in multifaceted environments.Key Responsibilities:Strategic AI LeadershipEstablish and execute AI roadmaps that are in harmony with corporate objectives.Oversee the comprehensive model lifecycle, from research and experimentation through to production deployment.Ensure that AI projects deliver quantifiable ROI and tangible business benefits.LLM & NLP Architecture (Enterprise Level)Architect LLM ecosystems, including RAG pipelines, orchestration layers, and fine-tuning methodologies.Guide domain-specific model fine-tuning and pretraining utilizing proprietary datasets.Integrate state-of-the-art platforms such as Azure OpenAI, AWS Bedrock, Anthropic Claude, and Google Vertex AI.Define governance, compliance, and security frameworks for LLM implementations.Establish evaluation criteria for hallucination rates, factual accuracy, bias, and toxicity.Infrastructure & GovernanceDevelop and manage data governance policies and feature store strategies.Lead frameworks for model observability, monitoring, and drift management.Collaborate with DevOps and Security teams to guarantee scalability, resilience, and compliance.Team & Stakeholder LeadershipAssemble and mentor multidisciplinary AI teams, including Data Scientists, ML Engineers, and Data Engineers.Provide mentorship to senior scientists and establish research best practices.Engage directly with executive leadership and non-technical stakeholders.Assess AI vendors and explore technology partnerships.Qualifications:Master’s or PhD in AI, Machine Learning, Computer Engineering, Applied Mathematics, or a related field.A minimum of 7 years of overall professional experience.At least 2 years in AI/ML leadership positions.Demonstrated capability to build and scale enterprise-level AI/LLM platforms.Leadership Competencies:Innovative mindset that propels enterprise-wide transformation.Exceptional executive communication and influence skills.Focused on delivering measurable ROI, scalability, and ethical AI practices.

Delivery Hero is looking for an Administrative Assistant to join the team in Dubai. This entry-level role centers on supporting daily operations and helping colleagues stay organized and efficient. Role overview The Administrative Assistant will handle a range of administrative tasks to keep the office running smoothly. This position is designed for those starting a career in administration and interested in working at a global food delivery company. What you will do Assist with scheduling, document preparation, and general office coordination Support team members with day-to-day administrative needs Help maintain a well-organized and welcoming office environment Location This position is based in Delivery Hero’s Dubai office.

Join Delivery Hero as a Butchery Supervisor at our Distribution Center in Dubai! We are seeking a dedicated and skilled professional to oversee the operations of our butchery department, ensuring quality standards and efficient distribution of products.As a Butchery Supervisor, you will be responsible for managing the team, maintaining compliance with food safety regulations, and optimizing production processes to meet demand. If you are passionate about quality meat products and have experience in a supervisory role, this is the perfect opportunity for you!

Dataiku is at the forefront of AI innovation, providing an enterprise orchestration layer that simplifies the creation, deployment, and governance of AI solutions. Our platform empowers teams to design and operate analytics, machine learning, and AI agents within a collaborative environment that emphasizes transparency and control. By integrating seamlessly with various data platforms, cloud infrastructures, and AI services, Dataiku enables organizations to implement AI strategies effectively across diverse vendor environments with centralized governance.Renowned companies across the globe depend on Dataiku to transform AI into a genuine driver of business performance, delivering measurable outcomes. For further insights, visit the Dataiku blog, LinkedIn, X, and YouTube.As a Senior Data Scientist at Dataiku, you will play a pivotal role in addressing real-world challenges by developing innovative solutions while also engaging directly with clients throughout their journey. Your responsibilities will encompass assisting clients in exploring the Dataiku platform, integrating it with other technologies, delivering user training, and collaboratively developing data science projects from inception to deployment.In this position, both technical and interpersonal skills are essential. You will leverage the Dataiku platform daily, utilizing primarily Python and SQL, with opportunities to work in other languages such as R, PySpark, and JavaScript. The ideal candidate will possess a passion for mastering complex technologies and modeling techniques and will be adept at articulating their work to both fellow data scientists and clients.Your contributions will include:Co-developing production-level data science projects in partnership with our clients.Analyzing diverse datasets and exploring machine learning applications across various industries and use cases.Facilitating user training sessions and providing ongoing consultative support to help users maximize their use of the Dataiku platform.Offering data science expertise to both customers and internal teams, including sales and marketing.

 Your Role Awaits!Join a pivotal team committed to enhancing a high-impact product that elevates our consumer experience:● Collaborate within a dynamic, cross-functional team comprising Product, Engineering, Data Science, and Product Analytics.● Forge robust relationships with your team to amplify your contributions.● Immerse yourself in understanding the product intricately - identifying target customers (both users and vendors), recognizing diverse local contexts, assessing business value, evaluating risks, uncovering opportunities, and navigating technical challenges.● Lead customer development initiatives and data analysis to identify fresh opportunities and mitigate risks.● Partner closely with design and research teams to reveal unmet user needs and potential growth areas.● Rapidly brainstorm, prototype, and refine solutions with your team, launching innovative products to our customers swiftly.● Drive the prioritization of opportunities and solutions aligned with company KPIs.● Be a proactive problem-solver, ready to roll up your sleeves to unblock your team and deliver high-quality solutions promptly.● Assess the success of your launched products and champion their continuous improvement, leveraging your expertise in experimental setup and analysis.● Engage with stakeholders to deepen your knowledge and enhance your product initiatives.● Collaborate with other Consumer teams to ensure alignment with the comprehensive Consumer experience and lifecycle.● Manage stakeholder communication effectively, collaborating with teams across the globe.● Work alongside our internal stakeholders, commercial, and strategy teams to craft and execute go-to-market strategies.● Be a self-starter and a collaborative team player.● Demonstrate the ability to independently prioritize your time, focusing on the most impactful efforts first.● Uphold accountability and fulfill your commitments.● Collaborate meaningfully with colleagues around the globe. 

Join our innovative technology team as the Vice President of Data Platforms. We are looking for an accomplished leader to guide our AI and machine learning strategies from our Dubai office. In this pivotal role, you will oversee the development and implementation of cutting-edge data platforms that drive our organization forward in the digital landscape.Your Responsibilities:Formulate and execute a comprehensive AI/ML strategy aligned with our business goals.Manage the design, development, and upkeep of scalable data platforms and AI/ML infrastructure.Lead and nurture a talented team of data scientists, engineers, and analysts, encouraging a culture of creativity and excellence.Work collaboratively with cross-functional teams to identify and deploy AI/ML solutions that enhance business outcomes.Establish and uphold best practices for data governance, security, and compliance across all AI/ML projects.Keep informed of the latest trends in AI/ML and data technologies, providing strategic recommendations for adoption.Build and maintain relationships with key technology partners and vendors in the AI/ML industry.Communicate AI/ML strategies, progress, and outcomes to executive leadership and stakeholders.Facilitate the integration of AI/ML capabilities into current products and services.Optimize resource allocation and manage budgets for AI/ML initiatives.

Join Delivery Hero as a Senior Security Engineer specializing in Cloud Security. In this pivotal role, you will be responsible for enhancing our cloud security posture, implementing advanced security measures, and ensuring compliance with industry standards. You will work collaboratively with cross-functional teams to develop and maintain security policies, provide guidance on security best practices, and respond to incidents effectively.

Join Envision Employment Solutions as we seek a talented Senior Data Scientist for our esteemed partner, a global frontrunner in IT Services and Consulting.Position Overview:We are on the lookout for a highly knowledgeable Senior Data Scientist who will take charge of designing, constructing, and implementing cutting-edge machine learning and natural language processing (NLP) solutions, including applications based on large language models. The successful candidate will possess significant production experience, deep understanding of transformer architectures, and the capability to spearhead technical projects from inception through to deployment.Key Responsibilities:Machine Learning & NLP DevelopmentCraft and develop comprehensive machine learning models, with a strong emphasis on NLP applications.Fine-tune and deploy large language models, including GPT, BERT, and LLaMA, tailored for specific applications.Construct, train, and assess deep learning models utilizing frameworks like TensorFlow, PyTorch, or Keras.Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions.Enhance and optimize transformer-based models for tasks such as summarization, Q&A, and document intelligence.Assess and refine prompt engineering strategies for improved context efficiency.Data Engineering & PipelinesDevelop robust data pipelines utilizing tools such as Airflow, Spark, or Dataiku.Engage in data wrangling and preprocessing using libraries like pandas and NumPy.Design and oversee feature stores.Integrate and manage vector databases such as Pinecone, FAISS, or Chroma.Model Deployment & ProductionEstablish and maintain RESTful APIs for deploying ML models in production environments.Implement scalable AI services and manage continuous integration/continuous deployment (CI/CD) pipelines.Monitor model performance, including drift detection and lifecycle management.Conduct A/B testing, ensemble blending, and utilize explainability techniques such as SHAP and LIME.Statistical & Analytical ExpertiseUtilize advanced statistics, probability theory, and experimental design.Conduct hypothesis testing and data-driven analyses to inform business decisions.Collaboration & IntegrationCollaborate effectively with product and engineering teams to integrate AI solutions into production systems.Work alongside cross-functional stakeholders to deliver scalable AI capabilities.Requirements:Qualifications:Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, or a related field.At least 4 years of experience in machine learning and data science roles.Demonstrated history of delivering production-grade ML and NLP projects.Experience in leading small data science teams or technical projects.

Join our dynamic team as a Data Scientist | Quantitative Analyst at connecthum, a rapidly expanding trading firm dedicated to enhancing its research and analytical capabilities.About connecthum:Experience a quant-driven trading environment.Engage in fast decision-making cycles that have a measurable impact on P&L.Be part of a data-first culture.Help scale research throughput to expedite strategy development.In this pivotal role, you will bridge the gap between trading, data science, and strategic decision-making.Your Contributions:Establish yourself as the primary expert in trading-related analytics and dashboards.Take ownership of and enhance strategy rebalance frameworks.Conduct hypothesis testing and backtesting on trading strategies.Assess and optimize existing trading strategies.Enhance access to clean, structured, and actionable data.Develop reporting pipelines and insightful dashboards.You will gain direct visibility into trading performance and the strategic impact of your work.Technical Environment Overview:Utilize Python for production-grade analytical workflows.Engage in large-scale SQL querying and work with analytical databases.Employ data visualization and dashboard tools.Implement statistical modeling and hypothesis validation techniques.Perform time-series analysis.Your Strengths:Proficient in Python with the ability to write clean, reproducible analytical code.Confident in handling large datasets using SQL.Strong grasp of statistics and probability principles.Experience in data visualization and reporting.Demonstrates an independent and self-motivated mindset.Excellent communicator — able to translate complex data into actionable decisions.Fluent in English.Willingness to relocate to Dubai.Preferred Qualifications:Background in trading or financial domains is a plus.

DeepLight AI is a premier consultancy specializing in artificial intelligence and data solutions, renowned for our extensive expertise in deploying intelligent enterprise systems across diverse industries, particularly in financial services and banking. Our team merges profound knowledge in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a pragmatic grasp of intricate business operations.The Data Engineer will play a pivotal role in designing, implementing, and optimizing data pipelines and infrastructure to bolster our innovative AI systems. This role involves close collaboration with our cross-functional team to ensure the effective collection, storage, processing, and analysis of large-scale data, unlocking valuable insights and fostering innovation across various sectors.

Join Careem as a Staff Data Scientist I in our dynamic ETA (Expected Time of Arrival) team, where you will leverage data science techniques to enhance our services. You will work with cross-functional teams to solve complex challenges, drive insights from data, and contribute to product development.

Join sia as a Data & AI Consulting Manager, where you will lead innovative projects that harness the power of data and artificial intelligence to drive transformative solutions for our clients. In this dynamic role, you will collaborate with cross-functional teams to develop strategies and deliver insights that enhance business performance.

Join Careem as a Staff Data Scientist I specializing in matching algorithms. In this role, you will leverage your expertise to enhance our platform's capabilities, driving innovation and maintaining our competitive edge in the market.

Modeling Expertise:Proven experience in designing and implementing propensity models focused on cross-selling and upselling opportunities.In-depth knowledge of Next Best Action / Next Best Offer systems.Solid understanding of supervised learning methodologies, uplift modeling, and causal inference techniques.Programming & Engineering:Proficient in Python (required); knowledge of R or Scala is advantageous.Experience with distributed computing frameworks such as Spark, Dask, or Ray.Skilled in developing production-level ML pipelines using tools like Airflow, MLflow, or Kubeflow.Strong familiarity with software engineering best practices including version control, CI/CD, and thorough testing.Data Infrastructure:Experience with cloud platforms (AWS/GCP/Azure) and data warehouses (Snowflake, BigQuery, Redshift).Excellent SQL skills; adept at optimizing queries and handling large datasets.MLOps & Deployment:Proven ability to deploy models to production using APIs or streaming technologies (Kafka, Flink).Experienced in model versioning, experiment management, and deployment practices with MLflow, SageMaker, or Vertex AI.Monitoring & Observability:Capable of establishing model monitoring, drift detection, and alerting systems utilizing Prometheus, Grafana, Evidently, or custom dashboards.Familiarity with logging frameworks and performance profiling for ML services.GenAI (Preferred):Experience with Large Language Models, embeddings, prompt engineering, and vector databases (e.g., FAISS, Pinecone).Ability to incorporate GenAI into decision-making systems or customer-facing applications.Leadership & Collaboration:Proven leadership skills to guide senior data scientists while maintaining a hands-on approach.Adept at collaborating with product managers, engineers, and business stakeholders.

About Fractional AIAt Fractional AI, we specialize in creating tailored generative AI software solutions designed to revolutionize businesses.As C-suite executives strive to bridge the divide between theoretical AI and practical application, we are here to fill this gap with our exceptional engineering talent and bespoke end-to-end AI solutions. Explore our case studies to see our impact.We are excited to expand our operations by establishing a Dubai office to better serve our clients across EMEA and Asia.About the RoleAs a Founding Engineer in our Dubai office, you will be at the forefront of developing and deploying AI applications tailored to our clients' needs. Your role will involve everything from gathering client requirements to implementing innovative AI solutions. You will also play a vital part in shaping the engineering culture at Fractional AI as we grow our team to over 100 engineers.By your second project, you'll have successfully delivered LLM applications across numerous companies and use cases, surpassing the experience of most AI engineers worldwide.

Job Title: Lead Data Scientist / Expert in Data Insights.Roles and Responsibilities:Demonstrated proficiency in Business Intelligence tools, particularly Tableau and MicroStrategy, ensuring a continuous flow of actionable data.Strong understanding of the transformative impact of data analytics on business operations, highlighting its advantages.Innovate by developing decision analytics solutions utilizing advanced methodologies and techniques.Design user-friendly processes and reporting models that empower business units to access and manage their data in real-time.Oversee engagement methodologies to ensure compliance, mitigate risks, and maintain the highest quality standards, collaborating with teams to implement necessary adjustments.

Delivery Hero is hiring a Sales Executive based in Dubai. This position centers on building strong client relationships and driving sales growth in a city known for its energy and diversity. Role overview The Sales Executive works closely with clients to support their needs and help expand Delivery Hero’s reach. The focus is on connecting customers with restaurants and delivery services, contributing to the company’s mission in the region. What you will do Develop and maintain relationships with new and existing clients Identify opportunities to grow sales and expand market presence Represent Delivery Hero’s services to partners and customers Who we’re looking for Interest in sales and client engagement Comfort working in a fast-moving setting Motivation to help connect customers with restaurants and delivery options